code: def get_modules():
      params = copy.deepcopy(PARAMS_DICT)
  
      params["hidden_dropout_prob"] = params.pop("dropout")
      params["hidden_size"] = params.pop("embedding_size")
  
      # bert, roberta, electra self attentions have the same code.
  
      torch.manual_seed(1234)
      yield "bert", BertEmbeddings(BertConfig(**params))
  
      albertparams = copy.deepcopy(PARAMS_DICT)
      albertparams["hidden_dropout_prob"] = albertparams.pop("dropout")
  
      torch.manual_seed(1234)
      yield "albert", AlbertEmbeddings(AlbertConfig(**albertparams))
  
imports: import copy
  import pytest
  import torch
  from torch.testing import assert_allclose
  from transformers import AutoModel
  from transformers.models.bert.configuration_bert import BertConfig
  from transformers.models.bert.modeling_bert import BertEmbeddings
  from transformers.models.albert.configuration_albert import AlbertConfig
  from transformers.models.albert.modeling_albert import AlbertEmbeddings
  from allennlp.common import Params, FromParams
  from allennlp.modules.transformer import TransformerEmbeddings, ImageFeatureEmbeddings, TransformerModule
label_desc: Use image node_id 11 for calling a global function with example usage: get_modules() without return types